A method and system for identifying hourly-scale temperature rapid transition events

By acquiring hourly temperature data for preprocessing and feature extraction, the system identifies abrupt temperature changes, solving the problem of difficulty in identifying rapid temperature shifts in existing technologies and achieving high temporal resolution temperature monitoring and early warning capabilities.

CN122451702APending Publication Date: 2026-07-24SUN YAT SEN UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SUN YAT SEN UNIV
Filing Date
2026-05-11
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

Existing technologies struggle to identify rapid temperature shifts between warm and cold states within a short period, and existing methods have low temporal resolution, failing to meet the needs of power dispatching, human thermal stress monitoring, and refined disaster early warning.

Method used

By acquiring hourly temperature data for preprocessing, the magnitude and duration of temperature changes during cold-to-warm and warm-to-cold events are calculated. A moving percentile relative threshold is constructed, a discriminant function for abrupt temperature changes is defined, and event identification is performed in conjunction with the duration of temperature changes. Deduplication and multi-dimensional feature extraction are then carried out.

Benefits of technology

It enables precise identification of hourly temperature abrupt changes, improving identification accuracy and stability. It can quantitatively characterize the evolution process and severity of events, providing a scientific reference for meteorological disaster early warning and risk assessment.

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Abstract

The application discloses a kind of based on hour scale temperature sudden change event identification method and system, the method includes: obtaining hour scale temperature data and carrying out data preprocessing, and calculating temperature variation amplitude and temperature variation duration;Build the reference statistics background of temperature sudden change event, and carry out percentile statistics in combination with temperature variation amplitude, obtain sliding percentile relative threshold;Define temperature sudden change event discriminant function, and carry out event identification in combination with temperature variation duration, determine cold to warm event and warm to cold event;De-duplication processing and event multidimensional feature index extraction processing are carried out, and the spatial distribution of cold to warm sudden event and warm to cold event, seasonal distribution, interannual variability and variation characteristics are output.The application can improve the identification accuracy of hour scale rapid temperature mutation process.The application can be widely applied to the field of climate change detection as a kind of based on hour scale temperature sudden change event identification method and system.
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